This series is organised around the product management lifecycle as a practical sequence rather than a set of abstract theories. It starts with discovery, where the team learns what is really happening and why it matters, then moves through definition, prioritisation, delivery, measurement and strategy as a connected set of decisions.
The published essays currently cover discovery and systems thinking. Definition, prioritisation, delivery, measurement and strategy are planned stages, rather than published articles. The aim is to show how good product work gets built from complementary disciplines, without prescribing one method.
Articles in this guide
-
Product Discovery Frameworks: The Framework Is Not the Product
Why product-management frameworks are useful models, not reality
-
Product Discovery and Systems Thinking: Buffy and the Wrong Problem
Why discovery frameworks need systems thinking, and why another dashboard might not save Sunnydale
Interactive simulation: Sunnydale After Dark — A Product Discovery Simulation →
Where this gets applied
AI Specification Assistant helps translate ambiguous product problems into clearer scope, assumptions, and delivery-ready decisions.